Chaotic analysis of disturbance regime in the primary forests

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F18%3A50015031" target="_blank" >RIV/62690094:18470/18:50015031 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5593/sgem2018/3.2/S14.096" target="_blank" >http://dx.doi.org/10.5593/sgem2018/3.2/S14.096</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5593/sgem2018/3.2/S14.096" target="_blank" >10.5593/sgem2018/3.2/S14.096</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Chaotic analysis of disturbance regime in the primary forests

Popis výsledku v původním jazyce

Natural disturbance regimes play key roles in shaping forest structure and development at stand and landscape levels. Disturbances are complex and variable, such that classical dichotomous characterization of disturbance regimes as following large infrequent disturbances or patch dynamics is too simplistic, especially when the resulting damage is more severe than the baseline of a single tree patch dynamic, but not severe enough to represent large infrequent disturbance. Ongoing climate change affects mountain Picea abies forests in Central, East and Southeastern Europe by an increasing frequency of storms and bark beetle outbreaks. We present a unique study based on chaos theory. The most important algorithms for data representation, prediction, phase space reconstruction, dimension, “0-1 test” are applicate here. Finally we used recurrence plots (RP) as a powerful tool for visualization and analysis. Generally RP is an advanced technique of nonlinear data analysis. RP is a graphical method designed to locate hidden recurring patterns, nonstationarity and structural changes.

Název v anglickém jazyce

Chaotic analysis of disturbance regime in the primary forests

Popis výsledku anglicky

Natural disturbance regimes play key roles in shaping forest structure and development at stand and landscape levels. Disturbances are complex and variable, such that classical dichotomous characterization of disturbance regimes as following large infrequent disturbances or patch dynamics is too simplistic, especially when the resulting damage is more severe than the baseline of a single tree patch dynamic, but not severe enough to represent large infrequent disturbance. Ongoing climate change affects mountain Picea abies forests in Central, East and Southeastern Europe by an increasing frequency of storms and bark beetle outbreaks. We present a unique study based on chaos theory. The most important algorithms for data representation, prediction, phase space reconstruction, dimension, “0-1 test” are applicate here. Finally we used recurrence plots (RP) as a powerful tool for visualization and analysis. Generally RP is an advanced technique of nonlinear data analysis. RP is a graphical method designed to locate hidden recurring patterns, nonstationarity and structural changes.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Ecology, economics, education and legislation : conference proceedings

ISBN

978-619-7105-18-6

ISSN

1314-2704

e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

749-756

Název nakladatele

SGEM

Místo vydání

Sofia

Místo konání akce

Albena

Datum konání akce

2. 7. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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